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Instructor-led course

Provided by: Social Sciences Research Methods Programme


This course has 1 scheduled run. To book a place, please choose your preferred date:


Mon 1 Mar 2021


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Factor Analysis


Description

This module introduces the statistical techniques of Exploratory and Confirmatory Factor Analyses. Exploratory Factor Analysis (EFA) is used to uncover the latent structure (dimensions) of a set of variables. It reduces the attribute space from a larger number of variables to a smaller number of factors. Confirmatory Factor Analysis (CFA) examines whether collected data correspond to a model of what the data are meant to measure. STATA will be introduced as a powerful tool to conduct confirmatory factor analysis. A brief introduction will be given to confirmatory factor analysis and structural equation modelling.

  • Session 1: Exploratory Factor Analysis Introduction
  • Session 2: Factor Analysis Applications
  • Session 3: CFA and Path Analysis with STATA
  • Session 4: Introduction to SEM and programming
Target audience
  • University Students from Tier 1 Departments
  • Further details regarding eligibility criteria are available here
Prerequisites
  • Students are expected to be familiar with basic statistical concepts such as variance, correlation and regression
  • The course also assumes familiarity with using the essential features of Stata
Software

Stata

Assessment

There may be a practical exercise at the end of the module.

Textbook(s)
  • Bartholomew, D. J., Steele, F., & Moustaki, I. (2008). Analysis of Multivariate Social Science Data (2nd ed ed.). New York, NY: Chapman & Hall/CRC Press.
  • Long, J. S. (1983). Confirmatory Factor Analysis: A Preface to LISREL. SAGE Publications.
  • Kim, J. O., & Mueller, C. W. (1978). Factor Analysis: Statistical Methods and Practical Issues. SAGE Publications.
  • LP., S., Hamilton, L. C., & Corporation, S. (2011). Stata Structural Equation Modeling Reference Manual-Release 12. StataCorp LP.

In addition, there are chapters on Exploratory and Confirmatory Factor Analysis in the Electronic Statistics Textbook (EST).

How to Book

Click the "Booking" panel on the left-hand sidebar (on a phone, this will be via a link called Booking/Availability near the top of the page).

Moodle

Moodle is the 'Virtual Learning Environment' (VLE) that the SSRMP uses to deliver online courses.

SSRMP lecturers use Moodle to make teaching resources available before, during, and/or after classes, and to make announcements and answer questions.

For this reason, it is vital that all SSRMP students enrol onto and explore their course Moodle pages once booking their SSRMP modules via the UTBS, and that they do so before their module begins. Moodle pages for modules should go live around a week before the module commences, but some may be made visible to students, earlier.

For more information, and links to specific Moodle module pages, please visit our website: https://www.ssrmc.group.cam.ac.uk/Key-Information/moodle-vle

Theme
Specialist Statistics

Events available